A leading U.S.-based insurance provider faced operational challenges caused by a fragmented and inefficient data ecosystem. Their master data management (MDM) system required continuous enhancements and frequent troubleshooting, severely affecting business performance. Key issues included:
Disparate Data Silos
Policy, claim, and customer data were distributed across multiple systems, complicating unified insights and reporting.
System Performance Bottlenecks
Legacy MDM frameworks struggled with large-scale JSON/XML data processing, causing latency and instability.
Slow ETL Pipelines
Manual data handling delayed ETL and data integration, reducing speed and accuracy of analytics.
Upgrade and Compliance Gaps
Production support and validation processes were time-intensive, increasing risk during software upgrades.
Lack of Business Intelligence Readiness
The inability to produce reliable, timely insights hindered strategic decisions.